On Constructing Thermodynamically Consistent Parametrizations of Kinetic Models. - W. Garrett Jenkinson; John Goutsias (BIBE, 2010)

A screening method for dimensionality reduction in biochemical reaction system calibration. - W. Garrett Jenkinson; John Goutsias (GENSiPS, 2010)

Thermodynamically consistent Bayesian analysis of closed biochemical reaction systems. - W. Garrett Jenkinson; Xiaogang Zhong; John Goutsias (BMC Bioinform., 2010)

Dynamics on networks: Chemical reactions as a unifying framework. - W. Garrett Jenkinson; John Goutsias (ACSCC, 2011)

Thermodynamically consistent model calibration in chemical kinetics. - W. Garrett Jenkinson; John Goutsias (BMC Syst. Biol., 2011)

Statistical validation of parametric approximations to the master equation. - W. Garrett Jenkinson; John Goutsias (ACSSC, 2013)

Intrinsic Noise Induces Critical Behavior in Leaky Markovian Networks Leading to Avalanching. - W. Garrett Jenkinson; John K. Goutsias (PLoS Comput. Biol., 2014)

An information-theoretic approach to the modeling and analysis of whole-genome bisulfite sequencing data. - W. Garrett Jenkinson; Jordi Abante; Andrew P. Feinberg; John Goutsias (BMC Bioinform., 2018)

Ranking genomic features using an information-theoretic measure of epigenetic discordance. - W. Garrett Jenkinson; Jordi Abante; Michael A. Koldobskiy; Andrew P. Feinberg; John Goutsias (BMC Bioinform., 2019)

LeafCutterMD: an algorithm for outlier splicing detection in rare diseases. - W. Garrett Jenkinson; Yang I Li; Shubham Basu; Margot A. Cousin; Gavin R. Oliver; Eric W. Klee (Bioinform., 2020)

Universally Rank Consistent Ordinal Regression in Neural Networks. - W. Garrett Jenkinson; Kia Khezeli; Gavin R. Oliver; John Kalantari; Eric W. Klee (CoRR, 2021)

A supervised learning method for classifying methylation disorders. - Jesse R. Walsh; Guangchao Sun; Jagadheshwar Balan; Jayson Hardcastle; Jason Vollenweider; Calvin Jerde; Kandelaria Rumilla; Christy Koellner; Alaa Koleilat; Linda Hasadsri; Benjamin Kipp; W. Garrett Jenkinson; et al. (BMC Bioinform., 2024)

UNISOM: Unified Somatic Calling and Machine Learning-based Classification Enhance the Discovery of CHIP. - Shulan Tian; W. Garrett Jenkinson; Alejandro Ferrer; Huihuang Yan; Joel A Morales-Rosado; Kevin L. Wang; Terra L. Lasho; Benjamin B. Yan; Saurabh Baheti; Janet E. Olson; Linda B. Baughn; Wei Ding; et al. (Genom. Proteom. Bioinform., 2025)

A clinical knowledge graph-based framework to prioritize candidate genes for facilitating diagnosis of Mendelian diseases and rare genetic conditions. - Rohan Gnanaolivu; Gavin R. Oliver; W. Garrett Jenkinson; Emily Blake; Wenan Chen; Nicholas Chia; Eric W. Klee; Chen Wang (BMC Bioinform., 2025)